The phrase "slope regression" is correct and usable in written English.
You can use it to describe a type of statistical analysis used to explore the relationships between variables. For example, when analyzing the relationship between average daily temperatures and ice cream sales, a slope regression can be used to determine if there is a correlation between the two.
Rate of force rise, rising slope regression coefficient.
t f is no longer to be chosen during measurements by continuously computing the slope regression on MW and by checking a stability criterion.
If correct, start and end point, maximum reaction force, area under the force-time peak, and the rising slope regression coefficient were determined.
For both cell lines (H295R and T47Dluc), concentration-response curves were fitted with a non-linear 'log agonist) vs. response - variable slope' regression using GraphPad Prism 5 as detailed in Heger et al.[87].
The following variables were examined: stance time (limb to floor contact time, Tstance = Te-To, Fig. 2b), peak force (Fmax, maximum force obtained during stance), total force measured during stance (Fint, impulse), and rate of force rise (RC, rising slope regression coefficient, Fig. 3b).
For instance, in the case of the slope regression on n pairs T − τ, the regression and its weights can be expressed by: begin{array}{l}{b}^={displaystyle sum_{alpha =1}^n{nu}_{alpha}^b{T}_{alpha }} {nu}_{alpha}^b=frac{tau_{alpha }-overline{tau}}{ncdot {sigma}_{tau}^2}end{array} (8).
People in the social sciences suffer from physics envy, we want clear and settled facts backed up by interesting charts, slopes, regression tables.
A homogeneity-of-slopes regression model was used to identify whether the slope of relationships between variables differed between the South Asian and European groups.
Homogeneity-of-slopes regression analysis revealed significant interactions between South Asians and Europeans in the slope of the relationships between expression of a number of skeletal muscle genes and whole-body indices.
We used mixed-model random-slope regression for longitudinal data to analyse radiographic damage progression over time.
Analysis of QAlb revealed decreasing values in all patients with clinical improvement, slope of regression curve not significant), while increasing QAlb values were found in all patients with fatal outcome, slope of regression curve differs significantly from zero P = 0.04).
